Python 3 Design Patterns Playbook
This course will teach you how to use proven object-oriented design patterns to significantly enhance the stability, testability, and maintainability of your Python development while decreasing your development time.
What you'll learn
Whether you're an experienced Python developer or just getting started, having ready-to-use solutions in your toolkit will make your job easier and more satisfying. In this course, Python 3 Design Patterns Playbook, you’ll learn to effectively use object-oriented design patterns in Python. First, you’ll explore the origins of design patterns and their applicability to programming projects of all sizes. Next, you’ll discover the many design patterns described in the well-known “gang of four” design patterns book on the topic. Finally, you’ll learn how to apply these patterns to solve real-world problems that occur in business and organizations of all sizes. When you’re finished with this course, you’ll have the skills and knowledge of object-oriented Python programming needed to build stable, maintainable, and extensible applications.
Table of contents
- Introducing the Bridge Pattern 1m
- Demo: Developing a Subscription System using a Naïve Implementation 2m
- Demo: Adding Support for Discounts 2m
- Understanding the Problems Found and Looking at the Bridge Pattern 2m
- Demo: Refactoring Using the Bridge Pattern 2m
- Demo: Adding Support for Special Offers 2m
- Module Summary 1m
- Introducing the Interpreter Pattern 1m
- Reviewing Popular Domain Specific Languages 1m
- Defining Formal Grammars Using Backus Normal Form 2m
- Creating a DSL for Making Scrambled Eggs 1m
- Understanding the Interpreter Pattern in UML 1m
- Demo: Implementing the Scrambled Eggs DSL 4m
- Consequences of the Interpreter Pattern 1m
- Module Summary 1m
About the author
Gerald Britton is a Pluralsight author and expert on Python programming practices and Microsoft SQL Server development and administration. A multiple-year of the Microsoft MVP award, Gerald has led introductory classes in Python and SQL for industry-sponsored events at Ryerson University, Toronto and the University of Toronto (his alma mater).